Causal effect inference with deep latent-variable models
© 2017 Neural information processing systems foundation. All rights reserved. Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers. The most important aspect of i...
| Format: | Article |
|---|---|
| Language: | English |
| Published: |
2021
|
| Online Access: | https://hdl.handle.net/1721.1/137336 |